Name
Abstract | ||
|---|---|---|
Ground-based synthetic aperture radar (GB-SAR) sensors represent a cost-effective solution for change detection and ground displacement assessment of small-scale areas in real-time early warning applications. GB-SAR systems based on stepped linear frequency modulated continuous wave signals have led to several improvements such as a significant reduction of the acquisition time. Nevertheless, the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2018.2863369 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Apertures,Synthetic aperture radar,Sensors,Chirp,Image reconstruction,Focusing,Remote sensing | Computer vision,Remote sensing,Coherence (physics),Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 10 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Lort | 1 | 1 | 0.69 |
| Albert Aguasca | 2 | 244 | 38.92 |
| Carlos Lopez-Martinez | 3 | 210 | 29.10 |
| Xavier Fàbregas | 4 | 273 | 31.72 |